{"id":"W1489933137","doi":"10.1109/inm.2015.7140365","title":"Monitoring and measurement in software-defined infrastructure","year":2015,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Testbed; Computer science; Scalability; Cloud computing; Variety (cybernetics); Software; Application lifecycle management; Component (thermodynamics); System monitoring; Analytics; Service (business); Network monitoring; Software architecture; Software engineering; Database; Operating system; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000462956,0.00008038057,0.00008472311,0.0000814871,0.00003210999,0.0000924887,0.0002836039,0.00002552791,7.751117e-7],"category_scores_gemma":[0.00007143093,0.00006449375,0.00001253828,0.0001966534,0.00001142514,0.00002131841,0.0004109289,0.00007725436,0.000005954688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008001365,"about_ca_system_score_gemma":0.00002734854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006936691,"about_ca_topic_score_gemma":0.000005604732,"domain_scores_codex":[0.9991273,0.00002826326,0.0001174063,0.0002187697,0.0003409264,0.0001673067],"domain_scores_gemma":[0.9995888,0.00001601676,0.00002402829,0.0002323064,0.00004901108,0.00008985984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000009205023,0.00007592174,0.2223505,0.00003617492,0.00002782665,0.00005031244,0.004127244,0.02885495,0.0001404979,0.008382882,0.003507791,0.7324367],"study_design_scores_gemma":[0.004024373,0.0003406654,0.698948,0.0003146953,0.00001299013,0.00004843809,0.001058397,0.2324212,0.001858742,0.03263077,0.02728547,0.001056359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7791232,0.0005440442,0.213424,0.001182228,0.0006500563,0.0001417584,5.127891e-8,0.0003544185,0.004580189],"genre_scores_gemma":[0.9393864,0.000001804244,0.06034961,0.0000641782,0.00005672808,0.000002837774,2.497384e-8,0.000003507763,0.0001348827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7313803,"threshold_uncertainty_score":0.2629979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159401198177453,"score_gpt":0.2310665984666928,"score_spread":0.1994725864849183,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}